Systolic Arrays For Eigenvalue Computation

Robert Schreiber

doi:10.1117/12.933693

28 December 1982 Systolic Arrays For Eigenvalue Computation

Robert Schreiber

Proceedings Volume 0341, Real-Time Signal Processing V; (1982) https://doi.org/10.1117/12.933693
Event: 1982 Technical Symposium East, 1982, Arlington, United States

Abstract

A machine architecture for computing the eigenvalues and eigenvectors of an Hermitian matrix is presented. Two systolic arrays are used, one for reducing full matrices to band matrices, the second for performing QR iteration on band matrices. A one-parameter family of systems, parameterized by the bandwidth of the reduced matrix, is available. This allows a tradeoff of processors for execution time.

Citation Download Citation

Robert Schreiber "Systolic Arrays For Eigenvalue Computation", Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); https://doi.org/10.1117/12.933693

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